Study types
- article 13
- other 8
- preprint 4
- book-chapter 2
- review 1
Condition tags
- endometriosis 27
- dysmenorrhea 2
- chronic_pelvic_pain 1
- infertility 1
Top journals
- Reproduction & fertility 2
- Australasian journal of ultrasound in medicine 1
- Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 1
- Fertility and sterility 1
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1
Frequent coauthors
- Mary-Louise Hull 18
- Mathew Leonardi 16
- Yuan Zhang 15
- Alison Deslandes 13
- Gustavo Carneiro 12
- Hu Wang 11
- Hsaing‐Ting Chen 10
- George Stanley Condous 10
- Steven Knox 10
- Minh-Son To 6
book-chapter
2026
article
2026
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, machine learning model training, and clinical auditing. We present \textbf{EndoExtract}, an …
preprint
2026
Endometriosis ultrasound reports are often unstructured free-text documents that require manual abstraction for downstream tasks such as analytics, machine learning model training, and clinical auditing. We present \textbf{EndoExtract}, an …
article
2026
article
2026
In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …
other
2026
Endometriosis affects 1 in 10 women globally. We aimed to determine health provider involvement and preferred methods of obtaining an endometriosis diagnosis across international jurisdictions. A global cross-sectional survey, distributed t…
article
2026
other
2026
Artificial intelligence (AI) is revolutionizing how we practice medicine. In areas where we have traditionally struggled, such as diagnosing endometriosis, AI has significant potential to improve the breadth and accuracy of diagnostic servi…
other
2026
Objective: To map the extent and type of evidence describing how diagnostic imaging for endometriosis affects quality of life, mental health and everyday functioning in adolescents and young adults aged 14-25 years. Introduction: With the e…
other
2026
Objective: To map the extent and type of evidence describing how diagnostic imaging for endometriosis affects quality of life, mental health and everyday functioning in adolescents and young adults aged 14-25 years. Introduction: With the e…
article
2026
In this study, we evaluate locally deployed large language models (LLMs) for converting unstructured endometriosis transvaginal ultrasound (eTVUS) reports into structured data. Across 49 de-identified reports, we compared three on-premise L…
preprint
2026
In this study, we evaluate a locally-deployed large-language model (LLM) to convert unstructured endometriosis transvaginal ultrasound (eTVUS) scan reports into structured data for imaging informatics workflows. Across 49 eTVUS reports, we …
other
2025
OBJECTIVES: Accurate diagnosis of pathology from ultrasound images is reliant upon images of a suitable diagnostic quality being acquired. This study aimed to create a novel machine learning model to automatically assess transvaginal ultras…
other
2025
Objective: The objective of this scoping review is to identify and synthesise data that maps the current knowledge of ultrasound, MRI and AI assisted diagnosis of endometriosis in adolescents. Introduction: Endometriosis often begins in ado…
other
2025
Objective: The objective of this scoping review is to identify and synthesise data that maps the current knowledge of ultrasound, MRI and AI assisted diagnosis of endometriosis in adolescents. Introduction: Endometriosis often begins in ado…
article
2025
article
2024
Abstract Diagnosis of endometriosis has traditionally relied on laparoscopic surgery, which was considered the ‘gold standard’ diagnostic tool. This is not ideal as surgery carries risk, is expensive, is difficult to access, and disrupts pa…
other
2024
Objective.Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery o…
preprint
2024
Endometriosis, affecting about 10% of individuals assigned female at birth, is challenging to diagnose and manage. Diagnosis typically involves the identification of various signs of the disease using either laparoscopic surgery or the anal…
article
2024
Abstract Study question Can we improve the diagnostic accuracy of the detection of POD obliteration in endometriosis magnetic resonance imaging, by leveraging results from unpaired eTVUS data sets? Summary answer We illustrate effective mul…
article
2023
Background and Aims: Currently, it takes an average of 6.4 years to obtain a diagnosis for endometriosis. To address this delay, the IMAGENDO project combines ultrasounds (eTVUS) and Magnetic Resonance Images (eMRI) using Artificial Intelli…
preprint
2023
Endometriosis is a common chronic gynecological disorder that has many characteristics, including the pouch of Douglas (POD) obliteration, which can be diagnosed using Transvaginal gynecological ultrasound (TVUS) scans and magnetic resonanc…
article
2023
Endometriosis is a common chronic gynecological disorder that has many characteristics, including the pouch of Douglas (POD) obliteration, which can be diagnosed using Transvaginal gynecological ultrasound (TVUS) scans and magnetic resonanc…
review
2023
article
2023
Endometriosis is a debilitating condition affecting 5% to 10% of the women worldwide, where early detection and treatment are the best tools to manage the condition. Early detection can be done via surgery, but multi-modal medical imaging i…